Assessment of preferred methods to measure insulin resistance in Asian patients with hypertension

Thai P.V., Tien H.A., Van Minh H., Valensi P.

Triglyceride Glucose (TyG) index has been associated with an increased risk in cardiovascular events. Silent coronary disease is common in patients with type 2 diabetes. In Vietnam, a low-middle income country, the burden of cardiovascular disease is growing simultaneously with the epidemiologic transition. Our aim was to assess the prevalence of coronary stenoses (CS) in patients with type 2 diabetes and no history or symptom of cardiovascular disease and to investigate the association between TyG index and cardiovascular risk factors and both the presence and severity of CS. Futhermore, we assessed the value of TyG index in predicting subclinical CS. This was a cross-sectional observational study. We recruited 166 patients at Ninh Thuan General Hospital, Vietnam. TyG index and HOMA-IR were calculated, and a coronary computed tomography angiography (CCTA) was performed. The population was classified according to tertiles of TyG index. The highest TyG values were associated with higher BMI, waist circumference, total cholesterol, LDL-cholesterol, triglycerides, plasma glucose, HbA1c levels and HOMA-IR, lower HDL-cholesterol, a higher incidence of metabolic syndrome and less frequent physical activity (p < 0.05 to < 0.0001). TyG index correlated with logHOMA-IR (p < 0.0001). CS ≥ 50% were present in 60 participants and 32 had coronary artery stenosis ≥ 70%. TyG index and HOMA-IR were significantly higher in patients with CS ≥ 70%. The number of narrowed coronary arteries and the degree of stenosis were associated with higher TyG index levels (p = 0.04 and < 0.005 respectively). A TyG index ≥ 10 was significantly associated with an increased risk of multiple coronary artery disease and of more severe CS. After adjusting for confounding factors, including logHOMA-IR, these risks remained mostly significant. A TyG index threshold at 10 resulted in 57% sensitivity and 75% specificity for predicting the presence of CS ≥ 70%. In subgroup analysis TyG index ≥ 10 was associated with an increased risk in CS ≥ 70% in patients treated with statin or antiplatelet therapy. More than one third of asymptomatic patients with type 2 diabetes had significant CS on CCTA. TyG index may be considered as a marker for insulin resistance and increased TyG index could identify patients with high risk of coronary artery stenoses and is associated with the number and the severity of artery stenoses.

Zeng Z.Y., Liu S.X., Xu H., Xu X., Liu X.Z., Zhao X.X.

For normal-weight population, the management of prehypertension may be more beneficial by identifying insulin resistance (IR) status than relying solely on traditional indicators of obesity. We investigated the association of triglyceride glucose (TyG) index, a simple surrogate marker of IR, and its combination of obesity indices with prehypertension in lean individuals. A total of 105 070 lean adults without hypertension were included in this analysis. Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), and TyG were calculated according to the corresponding formula; TyG-BMI, TyG-WC, and TyG-WHtR were calculated by multiplying the corresponding two parameters. Gardner-Altman plots, partial correlation, and logistic regression analyses were applied to explore the associations in continuous variables and quartiles. The prehypertensive ones had higher mean values of TyG, TyG-BMI, TyG-WC, and TyG-WHtR than normotensive individuals. All the four indicators showed positive correlations with systolic blood pressure and diastolic blood pressure. After full adjustment, only TyG-BMI and TyG-WC were significantly associated with prehypertension in both genders. Furthermore, TyG-BMI had the highest OR for prehypertension. Our study showed that TyG-BMI might be an accessible and complementary monitor in the hierarchical management of non-obese prehypertensive patients.

Sasaki N., Ozono R., Higashi Y., Maeda R., Kihara Y.

Background The interrelationships among the different stages of impaired glucose metabolism, insulin resistance, and hypertension are not fully understood. Methods and Results We investigated the impact of insulin resistance, plasma glucose, and serum immunoreactive insulin levels on hypertension in 19 166 participants with different stages of impaired glucose metabolism (7114 normal fasting glucose/normal glucose tolerance, 3543 isolated impaired fasting glucose [ IFG ], 2089 isolated impaired glucose tolerance, 2922 IFG plus impaired glucose tolerance, and 3498 diabetes mellitus]) determined by 75‐g oral glucose tolerance tests. Participants were recruited from examinees who finished a general health checkup for atomic bomb survivors between 1982 and 2017. The profiles of plasma glucose and immunoreactive insulin during oral glucose tolerance tests were assessed using the total area under the curve. Insulin resistance was assessed using the homeostasis model assessment of insulin resistance. The rate of hypertension increased from 36.3% in participants with normal fasting glucose/normal glucose tolerance to 50.1%, 50.8%, 58.3%, and 63.8% in participants with isolated IFG , isolated impaired glucose tolerance, IFG plus impaired glucose tolerance, and diabetes mellitus, respectively. Homeostasis model assessment of insulin resistance was associated with hypertension regardless of the presence and the degree of impaired glucose metabolism. Furthermore, fasting plasma glucose and serum immunoreactive insulin levels and areas under the curve for plasma glucose and immunoreactive insulin during oral glucose tolerance tests were associated with hypertension in normal fasting glucose/normal glucose tolerance and isolated IFG , but such a relationship was diminished in other types of prediabetes and diabetes mellitus. Conclusions The prevalence of hypertension increases with worsening stages of impaired glucose metabolism; however, hyperglycemia and hyperinsulinemia are significant contributors to the presence of hypertension only in the early stages of impaired insulin metabolism.

Sánchez-García A., Rodríguez-Gutiérrez R., Mancillas-Adame L., González-Nava V., Díaz González-Colmenero A., Solis R.C., Álvarez-Villalobos N.A., González-González J.G.

Introduction. The triglyceride and glucose (TyG) index has been described as a biochemical marker of insulin resistance (IR); however, its diagnostic accuracy remains uncertain. Objective. To summarize the evidence assessing the diagnostic accuracy of the TyG index regarding IR. Methods. A comprehensive search in MEDLINE, EMBASE, Web of Science, and Scopus was performed without any language restriction. Studies assessing the diagnostic accuracy of the TyG index against the hyperinsulinemic-euglycemic clamp (HIEC) or any other IR biochemical were assessed independently and in duplicate. Diagnostic accuracy measures (sensitivity, specificity, positive predictive value, negative predictive value, and likelihood ratios) were extracted independently and in duplicate. The QUADAS-2 tool was used to assess the risk of bias of independent studies. Results. We identified 15 eligible studies with 69,922 participants and an overall quality of low to moderate. The TyG index was evaluated by HIEC and HOMA as reference tests. The highest achieved sensitivity was 96% using HIEC, and the highest specificity was of 99% using HOMA-IR, with a cutoff value of 4.68. AUC values varied from 0.59 to 0.88. Cutoff values for IR were variable between studies, limiting its comparability. Conclusion. In this systematic review, we found moderate-to-low quality evidence about the usefulness of the TyG index as a surrogate biochemical marker of IR. Due to the lack of a standardized IR definition and heterogeneity between studies, further validation and standardized cutoff values are needed to be used in clinical practice.

Alizargar J., Bai C., Hsieh N., Wu S.V.

Da Silva et al. showed that the triglyceride-glucose (TyG) index was positively associated with a higher prevalence of symptomatic coronary artery disease (CAD). TyG has been used in healthy individuals as a marker of insulin resistance. The use of this index as a marker of atherosclerosis in cardiovascular disease (CVD) patients might be influenced by diabetes and the hyperlipidemic state that led to CVD. Certain considerations might be necessary before we conclude that the TyG index can be used as a marker of atherosclerosis in CVD patients. These factors can highlight the role of fasting blood glucose and triglyceride levels that are used in the TyG formula. Comparing the fasting blood glucose and/or triglyceride levels with the TyG index in these patients to show how much value the TyG index can add to clinical practice seems to be necessary. Conclusions of such studies might be biased by these facts. Stratification by CAD disease category cannot help achieve an understanding of the role of TyG in CVD. Correlations do not imply causation, so the use of the TyG index as an index in CAD patients is questionable.

da Silva A., Caldas A.P., Hermsdorff H.H., Bersch-Ferreira Â.C., Torreglosa C.R., Weber B., Bressan J.

The triglyceride-glucose index (TyG index) is a tool for insulin resistance evaluation, however, little is known about its association with coronary artery disease (CAD), which is the major cardiovascular death cause, and what factors may be associated with TyG index. To evaluate the association between the TyG index and the prevalence of CAD phases, as well as cardiovascular risk factors. The baseline data of patients in secondary care in cardiology from Brazilian Cardioprotective Nutritional Program Trial (BALANCE Program Trial) were analyzed. Anthropometric, clinical, socio-demographic and food consumption data were collected by trained professionals. The TyG index was calculated by the formula: Ln (fasting triglycerides (mg/dl) × fasting blood glucose (mg/dl)/2) and regression models were used to evaluate the associations. We evaluated 2330 patients, which the majority was male (58.1%) and elderly (62.1%). The prevalence of symptomatic CAD was 1.16 times higher in patients classified in the last tertile of the TyG index (9.9 ± 0.5) compared to those in the first tertile (8.3 ± 0.3). Cardiometabolic risk factors were associated with TyG index, with the highlight for higher carbohydrate and lower lipid consumption in relation to recommendations that reduced the chance of being in the last TyG index tertile. The TyG index was positively associated with a higher prevalence of symptomatic CAD, with metabolic and behavioral risk factors, and could be used as a marker for atherosclerosis. Trial registration ClinicalTrials.gov identifier: NCT01620398. Registered 15 June, 2012

Babic N., Valjevac A., Zaciragic A., Avdagic N., Zukic S., Hasic S.

Li S., Guo B., Chen H., Shi Z., Li Y., Tian Q., Shi S.

This study aimed to evaluate the role of the triglyceride (triacylglycerol) glucose (TyG) index in predicting and mediating the development of cardiovascular disease (CVD). This cohort study included 6078 participants aged over 60 years who participated in a routine health check-up programme from 2011 to 2017. The competing risk model, cox regression model and multimediator analyses were performed. TyG was calculated as ln [fasting triglyceride (mg/dl) × fasting plasma glucose (mg/dl)/2]. During a median 6 years of follow-up, 705 (21.01/1000 person-years) CVD events occurred. In fully adjusted analyses, quartiles 3 and 4 versus quartile 1 of TyG index (adjusted subhazard ratios [SHRs] 1.33 [95% CI: 1.05–1.68] and 1.72 [1.37–2.16]) were associated with an increased risk of CVD events. The continuous time-dependent TyG remained significant in predicting CVD events (adjusted hazard ratios [HR] 1.43 [1.24–1.63]). The adverse estimated effects of body mass index (BMI) or resting heart rate (RHR) on CVD mediated through the joint effect of the baseline and follow-up TyG index. In addition, an effect mediated only through the follow-up TyG existed (P < 0.05). Thus, it is necessary to routinely measure the TyG. The TyG index might be useful for predicting CVD events in clinical practice.

Lim J., Kim J., Koo S.H., Kwon G.C.

The triglyceride glucose (TyG) index, a product of triglyceride and fasting glucose, is a reliable marker for insulin resistance (IR). Obesity is also known to be closely related with IR. Recently, the efficiency of TyG-related markers that combine obesity markers with TyG index has been studied; however, earlier studies were limited in number and the results were inconsistent. Therefore, in this study, we investigated the efficiency of several combinations of TyG index and obesity indices, namely, body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR), in reflecting IR. Data were obtained from the Korean National Health and Nutrition Examination Survey from 2007–2010. A total of 11,149 subjects (4,777 men and 6,372 women) were included. IR was defined as the homeostasis model assessment for IR (HOMA-IR) of above the 75th percentile for each gender. Logistic regression analysis was performed after adjusting for confounding factors, to compare and identify the associations of the 4 parameters (TyG index, TyG-BMI, TyG-WC, and TyG-WHtR) with IR. For each parameter, odds ratios (OR) and 95% confidence intervals (CIs) of quartiles 2–4 were calculated and compared with quartile 1 as a reference. A receiver operating characteristic (ROC) curve analysis was conducted to evaluate the ability of each parameter to predict IR. The adjusted ORs of quartile 4 in comparison with quartile 1 (95% CIs) for IR were 7.60 (6.52–8.87) for TyG index, 12.82 (10.89–15.10) for TyG-BMI, 16.29 (13.70–19.38) for TyG-WC, and 14.86 (12.53–17.62) for TyG-WHtR. The areas under the ROC curve for each parameter were 0.690 for TyG index, 0.748 for TyG-BMI, 0.731 for TyG-WC, and 0.733 for TyG-WHtR. In conclusion, TyG-BMI was found to be superior to other parameters for IR prediction. We propose TyG-BMI as an alternative marker for assessing IR in clinical settings.

Jin J., Cao Y., Wu L., You X., Guo Y., Wu N., Zhu C., Gao Y., Dong Q., Zhang H., Sun D., Liu G., Dong Q., Li J.

Triglyceride glucose (TyG) index is a novel marker for metabolic disorders and recently it has been reported to be associated with cardiovascular disease (CVD) risk in apparently healthy individuals. However, the prognostic value of TyG index in patients with stable coronary artery disease (CAD) is not determined.We conducted a nested case-control study among 3,745 patients with stable CAD. Patients were followed up for 11,235 person-years. The cardiovascular events (CVEs) were defined as all-cause death, non-fatal myocardial infarction (MI), stroke and post-discharge revascularization [percutaneous coronary intervention (PCI) coronary artery bypass grafting (CABG)]. In total, 290 (7.7%) patients with CVEs and 1,450 controls were matched according to age, gender, previous history of PCI or CABG and the duration of follow-up. TyG index was calculated as formula: ln[fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2].Multivariable Cox proportional hazards models revealed that TyG index was positively associated with CVEs risk (hazard ratio: 1.364, 95% confidence interval: 1.100-1.691, P=0.005). The Kaplan-Meier analysis indicated that patients within the highest quartile of TyG index presented the lowest event-free survival (P=0.029). Moreover, a 1-standard deviation (SD) increment in TyG index was associated with 23.2% [hazard ratio (HR): 1.232, 95% confidence interval (95% CI): 1.084-1.401] higher risk of CVEs, which was superior to other triglyceride or glycemic related markers.The present study, firstly, showed that TyG index was positively associated with future CVEs, suggesting that TyG may be a useful marker for predicting clinical outcomes in patients with CAD.

Won K., Park G., Lee S., Cho I., Kim H.C., Lee B.K., Chang H.

Insulin resistance (IR) is an important risk factor for subclinical atherosclerosis. This study evaluated the relationship between the triglyceride glucose (TyG) index, which is a simple and reliable surrogate marker for IR, and arterial stiffness. This study included 2560 Korean subjects without a previous history of coronary artery disease, stroke, and malignancies who participated in a community-based cohort study. Arterial stiffness was measured using the brachial-ankle pulse wave velocity (baPWV). All participants were stratified into four groups based on the quartile of the TyG index. The prevalence of metabolic syndrome and diabetes significantly increased with increasing TyG index quartile. The mean baPWV was significantly different among all groups (group I [lowest]: 1421 ± 242 vs. group II: 1480 ± 244 vs. group III: 1534 ± 260 vs. group IV [highest]: 1575 ± 279 cm/s; p < 0.001). The TyG index values were correlated with baPWV (r = 0.224, p < 0.001). Multiple regression analysis showed that age (β = 0.410), male gender (β = 0.051), increased blood pressure (β = 0.266), and TyG index (β = 0.158) were associated with baPWV (p < 0.05, respectively). TyG index was independently related to baPWV in both non-diabetics and diabetics. The TyG index is independently associated with arterial stiffness in a relatively healthy Korean population.

Salazar J., Bermúdez V., Calvo M., Olivar L.C., Luzardo E., Navarro C., Mencia H., Martínez M., Rivas-Ríos J., Wilches-Durán S., Cerda M., Graterol M., Graterol R., Garicano C., Hernández J., et. al.

Background: Insulin resistance (IR) evaluation is a fundamental goal in clinical and epidemiological research. However, the most widely used methods are difficult to apply to populations with low incomes. The triglyceride-glucose index (TGI) emerges as an alternative to use in daily clinical practice. Therefore the objective of this study was to determine an optimal cutoff point for the TGI in an adult population from Maracaibo, Venezuela. Methods: This is a sub-study of Maracaibo City Metabolic Syndrome Prevalence Study, a descriptive, cross-sectional study with random and multi-stage sampling. For this analysis, 2004 individuals of both genders ≥18 years old with basal insulin determination and triglycerides < 500 mg/dl were evaluated.. A reference population was selected according to clinical and metabolic criteria to plot ROC Curves specific for gender and age groups to determine the optimal cutoff point according to sensitivity and specificity.The TGI was calculated according to the equation: ln [Fasting triglyceride (mg / dl) x Fasting glucose (mg / dl)] / 2. Results: The TGI in the general population was 4.6±0.3 (male: 4.66±0.34 vs. female: 4.56±0.33, p=8.93x10-10). The optimal cutoff point was 4.49, with a sensitivity of 82.6% and specificity of 82.1% (AUC=0.889, 95% CI: 0.854-0.924). There were no significant differences in the predictive capacity of the index when evaluated according to gender and age groups. Those individuals with TGI≥4.5 had higher HOMA2-IR averages than those with TGI <4.5 (2.48 vs 1.74, respectively, p<0.001). Conclusions: The TGI is a measure of interest to identify IR in the general population. We propose a single cutoff point of 4.5 to classify individuals with IR. Future studies should evaluate the predictive capacity of this index to determine atypical metabolic phenotypes, type 2 diabetes mellitus and even cardiovascular risk in our population.

Zheng R., Mao Y.

Hypertension and the triglyceride and glucose index both have been associated with insulin resistance; however, the longitudinal association remains unclear. This study was designed to investigate the longitudinal association between the triglyceride and glucose index and incident hypertension among the Chinese population. We studied 4686 subjects (3177 males and 1509 females) and followed up for 9 years. The subjects were divided into four groups based on the triglyceride and glucose index. Univariate and multivariate Cox regression models were used to analyse the risk factors of hypertension. After 9 years of follow-up, 2047 subjects developed hypertension. The overall 9-year cumulative incidence of hypertension was 43.7%, ranging from 28.5% in quartile 1 to 36.9% in quartile 2, 49.2% in quartile 3 and 59.8% in quartile 4 (p for trend < 0.001). Cox regression analyses indicated that higher triglyceride and glucose index was associated with an increased risk of subsequent incident hypertension. The triglyceride and glucose index can predict the incident hypertension among the Chinese population.

Er L., Wu S., Chou H., Hsu L., Teng M., Sun Y., Ko Y.

Background Insulin resistance (IR) and the consequences of compensatory hyperinsulinemia are pathogenic factors for a set of metabolic abnormalities, which contribute to the development of diabetes mellitus and cardiovascular diseases. We compared traditional lipid levels and ratios and combined them with fasting plasma glucose (FPG) levels or adiposity status for determining their efficiency as independent risk factors for IR. Methods We enrolled 511 Taiwanese individuals for the analysis. The clinical usefulness of various parameters—such as traditional lipid levels and ratios; visceral adiposity indicators, visceral adiposity index (VAI), and lipid accumulation product (LAP); the product of triglyceride (TG) and FPG (the TyG index); TyG with adiposity status (TyG-body mass index [BMI]) and TyG-waist circumference index [WC]); and adipokine levels and ratios—was analyzed to identify IR. Results For all lipid ratios, the TG/high-density lipoprotein cholesterol (HDL-C) ratio had the highest additional percentage of variation in the homeostasis model assessment of insulin resistance (HOMA-IR; 7.0% in total); for all variables of interest, TyG-BMI and leptin-adiponectin ratio (LAR) were strongly associated with HOMA-IR, with 16.6% and 23.2% of variability, respectively. A logistic regression analysis revealed similar patterns. A receiver operating characteristic (ROC) curve analysis indicated that TG/HDL-C was a more efficient IR discriminator than other lipid variables or ratios. The area under the ROC curve (AUC) for VAI (0.734) and TyG (0.708) was larger than that for TG/HDL-C (0.707). TyG-BMI and LAR had the largest AUC (0.801 and 0.801, respectively). Conclusion TyG-BMI is a simple, powerful, and clinically useful surrogate marker for early identification of IR.

Sinha S., Akhter Q.S., Banik S., Islam M.Z., Haque M.

Dakota I., Huang W., Wijayanto M.A., Nurhafizah A., Khairunnisa A.R., Rachmayanti S., Yuliana E., Sunjaya A.F., Siswanto B.B.

Hao Q., Gao J., Zeng Y., Zhang S., Xiong Z., Li S., Lin Z., Yang P., Liu P., Li Z.

Hu J., Zhuo L., Zuo J., Zhou T., Lin F., Zhao H., Zhang C., Wang W., Wang G., Feng L.

Shen S., Tsai H., Li Y., Chen C., Lin Y., Lee S., Yang S., Huang Y., Lee T.

Background: The triglyceride-glucose (TyG) index has emerged as a novel surrogate marker of insulin resistance, but its changes after hepatitis C virus (HCV) eradication remain unclear. This study aimed to evaluate changes in the TyG index following direct-acting antiviral (DAA) treatment. Methods: HCV-infected patients achieving sustained virological response 12 weeks post-treatment (SVR12) were prospectively enrolled from May 2015 to June 2023. Exclusion criteria included the following: (1) failure to achieve SVR12; (2) use of anti-diabetes or anti-hyperlipidemia medications; and (3) hepatitis B virus or human immunodeficiency virus co-infection. Changes in lipid profiles, TyG index, and homeostasis model assessment of insulin resistance (HOMA-IR) were evaluated from baseline to SVR12. Insulin resistance was defined as HOMA-IR ≥ 2.5. The optimal TyG index cut-off for predicting insulin resistance was determined using the Youden Index. Results: A total of 111 patients (median age: 61.0 years; 45.9% male) were included. The TyG index correlated positively with HOMA-IR (Pearson’s r = 0.32, p < 0.001). Among patients with pre-existing insulin resistance, significant improvements were observed at SVR12 in both HOMA-IR (4.0 [IQR: 3.1–5.4] vs. 2.5 [IQR: 2.0–3.9]; p < 0.001) and TyG index (8.47 [IQR: 8.08–8.68] vs. 8.36 [IQR: 8.00–8.71]; p = 0.028). Using 8.27 as the optimal TyG index cut-off, similar improvements were noted in HOMA-IR (2.8 [IQR: 2.0–4.3] vs. 2.3 [IQR: 1.5–3.8]; p = 0.031) and TyG index (8.62 [IQR: 8.46–8.83] vs. 8.52 [IQR: 8.27–8.89]; p = 0.003). Conclusions: The TyG index is a valuable tool for monitoring changes in insulin resistance after HCV eradication, particularly in patients with baseline insulin resistance.

Hong D., Li X., Sheng G., Yang H., Wang W., Zou Y.

Shu M., Han F., Zhai F., Zhang D., Zhou L., Ni J., Yao M., Cui L., Peng B., Jin Z., Zhang S., Zhu Y.

Background The triglyceride-glucose (TyG) index is considered a robust surrogate for insulin resistance (IR). The relationship between the trajectory patterns of the TyG index and subsequent brain structure changes is still unclear. Objective This study investigates the relationship between 10-year trajectories of TyG-related indices and brain structural integrity in a 10-year follow-up. Methods This prospective study included 898 participants (mean age 55.6 years, 34.4% males) from the community-based Shunyi Study. IR was assessed using the TyG index, TyG-body mass index (BMI) index, TyG-waist circumference index, and TyG-waist-to-height ratio (WHtR) index. The group-based trajectory model was employed to identify the 10-year trajectories. Structural brain measurements included structural changes of the whiter matter (white matter hyperintensities (WMHs), fractional anisotropy, and mean diffusivity) and gray matter (brain parenchymal fraction (BPF), cortical thickness, and hippocampal volume). General linear models were utilized to examine the association between the trajectory patterns of TyG-related indices and brain structure. Results Three distinct trajectories of TyG-related indices were identified from 2013 to 2023. The high-level trajectory groups of TyG-related indices exhibited a greater volume of WMHs and were more susceptible to disruptions in white matter microstructural integrity. This association was most significant for the TyG-BMI and TyG-WHtR trajectory groups. No significant correlations were found for BPF and cortical thickness among the different TyG-related indices trajectories. Conclusions The findings suggest that long-term IR primarily damages brain white matter rather than causing structural changes in gray matter.

Woodiwiss A.J., Norton G.R., Libhaber C.D., Sareli P., Dessein P.H.

Objective: Various insulin resistance (IR) indices have been developed to assess cardiovascular (CVS) risk. We compared the association between ten IR indices and cardiac, renal, and vascular end-organ measures in a predominantly young (age 45.0 ± 18.3 years) South African Black population. Methods: We assessed the relationships between ten IR indices (homeostatic model assessment for IR [HOMA-IR], quantitative insulin sensitivity check index [QUICKI], metabolic score for IR [METS-IR], triglyceride–glucose index [TyG], TyG–body mass index [TyG-BMI], TyG–waist circumference [TyG-WC], TyG–waist-to-height ratio [TyG-WHtR], triglyceride to high-density cholesterol concentration [TyG-HDL], lipid accumulation product [LAP], visceral adiposity index [VAI]) and end-organ measures in 779 community participants of African ancestry. Results: HOMA-IR and QUICKI were the only IR indices consistently associated with end-organ measures (left ventricular [LV] mass index, p ≤ 0.005; LV relative wall thickness, p < 0.0001; early-to-late mitral velocity, p ≤ 0.01; E/e’, p ≤ 0.002; e’, p < 0.0001; pulse wave velocity, p = 0.036 (HOMA-IR only); glomerular filtration rate [GFR], p < 0.0001), independent of confounders. Furthermore, HOMA-IR was consistently higher, and QUICKI lower, in those with compared to those without end-organ damage (LV hypertrophy [p ≤ 0.03], concentric LV [p < 0.03], and reduced GFR [p ≤ 0.008]), independent of confounders. Importantly, the associations between HOMA-IR or QUICKI and end-organ measures were independent of additional CVS risk factors, including adiposity measures, and were replicated in the participants without diabetes mellitus (n = 669) and in the participants without high blood pressure (n = 505). Conclusions: In a predominantly young community of African ancestry, of ten recommended IR indices, only HOMA-IR and QUICKI were consistently associated with end-organ damage independent of CVS risk factors.

Wang Y., Lu Y., Gao S., Zhong Z., Bao J.Y., Liu B., Fan R., Guo N.

BackgroundWith a focus on metabolism-related cardiovascular diseases, the triglyceride-glucose (TyG) index has been used as a surrogate marker of insulin resistance in the prognosis of coronary heart disease. However, the prognostic role of the TyG index in patients with elevated triglycerides, still requires further research. This study aimed to investigate the association between the TyG index and Major Adverse Cardiac and Cerebrovascular Events (MACCE) in patients with hypertriglyceridemia undergoing drug-eluting stent percutaneous coronary intervention (DES-PCI).MethodsOut of 2250 patients, 813 with hypertriglyceridemia who underwent DES-PCI were retrospectively analyzed. MACCE was regarded as the primary endpoint. Kaplan–Meier (KM) curves were used to evaluate the association between the TyG index and different endpoints. Restricted cubic spline (RCS) analysis was used to examine the relation between the TyG index and MACCE. Subgroup analysis was conducted to further evaluate the interaction between the TyG index and subgroup indicators.ResultsCox regression analysis identified the TyG index as an independent predictor of MACCE (hazard ratio [HR] 1.53, 95% confidence interval [CI] 1.15–2.04, P = 0.004). Receiver operating characteristic (ROC) analysis determined 9.19 as the cutoff value of TyG index. The Kaplan–Meier curve indicated that patients with a TyG index &gt; 9.19 had higher risks of MACCE (HR 2.23, 95% CI 1.35–3.67, P = 0.002), MACE (HR 2.38, 95% CI 1.39–4.09, P = 0.002), unplanned repeat revascularization (HR 2.05, 95% CI 1.02–4.09, P = 0.043) and all-cause death (HR 3.31, 95%CI 1.15–9.47, P = 0.026) than those of patients with a low TyG index. RCS analysis revealed a linear relation between the TyG index and MACCE risk (P for nonlinearity = 0.879, P for overall trend = 0.044).ConclusionsThis study demonstrated that a high TyG index is associated with an increased risk of MACCE, suggesting that the TyG index may serve as a valuable prognostic marker in patients with hypertriglyceridemia undergoing DES-PCI.

Sergi D., Spaggiari R., Nora E.D., Angelini S., Castaldo F., Omenetto A., Stifani G., Sanz J.M., Passaro A.

Li C., Lin Q., Wan C., Li L.

Abstract This study aims to investigate the relationship between the triglyceride-glucose body mass index (TyG-BMI) and cardiovascular disease (CVD) among middle-aged and elderly women, using data from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018. TyG-BMI was calculated as Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2] × BMI. After applying the sampling weights from NHANES, the study sample of 6,343 participants is representative of approximately 59,174,898 American women. We categorized TyG-BMI into quartiles, using Q3 as the reference group. In the crude model, Q4 exhibited a 40% increased odds of CVD (odds ratio [OR] = 1.40, 95% confidence interval [CI] 1.09–1.79, P = 0.009). In the fully adjusted model, the increased odds of CVD for Q4 relative to Q3 was 39% (OR = 1.39, 95% CI 1.06–1.82, P = 0.019). Further analysis using restricted cubic splines (RCS) and threshold effect analysis confirmed a nonlinear relationship between them. Below a TyG-BMI threshold of 260, there was no significant association with CVD odds. However, above 260, each 10-unit increase in TyG-BMI was associated with a 2.4% increase in CVD odds in this demographic. Sensitivity analyses confirmed the stability of the results.

Abdollahpour N., Seifi N., Arabi A.A., Shahri N.S., Ferasati A., Moghadam H.K., Esmaily H., Ferns G.A., Ghayour-Mobarhan M.

Saffar Soflaei S., Salehi‐Sangani P., Fallahi Z., Imanparast F., Marousi M., Tajfard M., Ferns G.A., Moohebati M., Ghayour‐Mobarhan M.

ABSTRACTBackgroundDespite previous studies, the relationship between the triglyceride‐glucose (TyG) index and coronary artery disease (CAD) is still undetermined. So we aimed to investigate the association between the TyG index and CAD.MethodA total of 2346 subjects were enrolled in the study and were categorised into 5: those with no CAD, angiogram negative (Ang−) patients, those with single‐vessel disease (SVD), or two‐vessel disease (2VD) or three‐vessel disease (3VD). Demographic characteristics, disease history and biochemical investigations were recorded. TyG index was calculated as Ln [fasting TG (mg/dL) × fasting glucose (mg/dL)/2].ResultsAdjusted regression models demonstrated that the odds of 3VD (OR, 5.847; 95% CI, 4.391–7.784), 2VD (OR, 4.943; 95% CI, 3.597–6.791), SVD (OR, 4.722; 95% CI 3.448–6.647) and a negative coronary angiogram (OR, 3.137; 95% CI, 2.431–4.049), increased significantly per each unit elevation of the TyG index, compared to the healthy participants. Also, the odds for being 3VD (1.864, 95%CI 1.402–2.477, p‐value < 0.001), 2VD (1.575, 95%CI 1.143–2.171, p‐value = 0.005) and SVD (1.505, 95%CI 1.097–2.065, p‐value = 0.011) were increased significantly by one‐unit elevation of TyG index, compared to Ang− group.ConclusionOur study demonstrates a significant association between elevated TyG index and the presence and severity of CAD. Higher TyG index values were consistently linked to an increased likelihood of multivessel CAD, especially in diabetic patients. These findings suggest that the TyG index could serve as a valuable marker for assessing CAD risk and stratification.

Xu S., Guan Y., Xuan H., Fan X., Lu P., Hao L.

Sbriscia M., Colombaretti D., Giuliani A., Di Valerio S., Scisciola L., Rusanova I., Bonfigli A.R., Olivieri F., Sabbatinelli J.

Abstract Background The triglyceride glucose index (TyG index) is a marker of insulin resistance linked to the incidence of major adverse cardiovascular events (MACE) in diverse populations. However, its long-term prognostic role in type 2 diabetes (T2D) remains underexplored. This study evaluated the predictive value of the TyG index for all-cause mortality and MACE in T2D over a period of more than 15 years. Methods A retrospective analysis was conducted on a cohort of 568 patients with T2D (median age: 67 years, IQR 61–72 years; 54% males; median disease duration: 14 years, IQR 7–21 years; median HbA1c: 7.3%, IQR 6.6–8.0%) and 376 presumably healthy controls (CTR, median age: 65 years, IQR 60–71 years) followed for a median period of 16.8 (IQR, 13.1–16.8) years. Routine biomarkers were measured on serum samples using commercially available methods. One-way ANOVA/ANCOVA, logistic regression, and Spearman’s correlations were used to compare the TyG index among groups and to assess its correlations with biochemical variables. The association between TyG index and the follow-up endpoints was investigated by Kaplan–Meier curves and Cox proportional hazards analysis. Results Patients with T2D exhibited higher TyG Index values compared to CTR, with significant correlations between the TyG Index and markers of obesity, glucose metabolism, inflammation, and liver function. Patients with preexisting diabetic kidney disease (DKD) or atherosclerotic vascular disease had higher baseline values of TyG index. Sex-specific differences were observed among CTR but not in T2D patients. The TyG Index was predictive of all-cause mortality (HR = 1.39, 95% CI 1.07–1.79) and associated with the onset of complications MACE, DKD, and neuropathy independent of other conventional predictors. Age modified the TyG Index-mortality association, with the strongest effect in individuals aged 57–74. Conclusion The TyG index is a valuable prognostic marker for long-term risk of all-cause mortality and MACE in patients with T2D, supporting its use in clinical risk stratification.

Wang C., Wang J., Li X., Zhou P., Zhao X., Xin A., Liao G., Huang Y., Zhang Y.